Graphs in Banking: Integration with AI & Machine Learning [Video]
By Allison Wu
July 16, 2019|Reading time: 1 minute
Check out this webinar on graph technology within the financial services industry, featuring use cases on fraud detection, MDM and IAM.
Explore: ai • banking • financial services • fraud • graph database • iam • machine learning • Master Data Management • MDM • webinar
Toward AI Standards: Context Makes AI More Robust
By Jocelyn Hoppa
July 15, 2019|Reading time: 4 minutes
Read this third blog in our series “Toward AI Standards” and discover how graph technology adds context to data relationships for more robust AI solutions.
Explore: ai • AI application • AI solution • Boeing • chatbot • Data Relationships • fraud detection • graph algorithms • graph analysis • graph platform • machine learning • neo4j
Deciphering Product DNA: Next-Level PDM with AI & Knowledge Graphs
By Jocelyn Hoppa
July 9, 2019|Reading time: 4 minutes
Increasingly complex products undoubtedly require greater management of components, function and data. Classic product data management (PDM) has long reach its limits in this respect. Breaking down product DNA is now driven by artificial intelligence (AI) and knowledge graphs. In… Read more →
Explore: ai • artificial intelligence • bill of materials • ERP • knowledge graphs • machine learning • manufacturers • natural language processing • pdm • PIM • product data management
Liberating Knowledge: Machine Learning Techniques with Neo4j
By Jocelyn Hoppa
July 3, 2019|Reading time: 13 minutes
Editor’s Note: This presentation was given by Rob Schley, Dr. Alessandro Negro and Christophe Willemsen at GraphConnect New York City in September 2018 Presentation Summary Following a brief philosophical background by Rob Schley, we dive into Hume’s core by exploring… Read more →
Explore: ai • Connected Data • Graph Analytics • graph-based search • graphconnect • Hume • Knowledge Graph • machine learning • natural language understanding • neo4j
Toward AI Standards: Graph Technology for Responsible AI
By Jocelyn Hoppa
July 2, 2019|Reading time: 3 minutes
Read the first installment of this four-part series on how graphs provide the context artificial intellingence needs to remain reliable and trustworthy.
Explore: AI applications • AI solutions • Amazon • artificial intelligence • contextual information • decision path • graph platforms • graph technology • machine learning • twitter
Graphs in Automotive & Manufacturing: Unlock New Value from Your Data [Video]
By Allison Wu
June 27, 2019|Reading time: 1 minute
Check out this webinar on using graph database technology in the manufacturing and automotive industries, including the use of graph algorithms in AI.
Explore: ai • artificial intelligence • automotive • bill of materials • graph algorithms • logistics • machine learning • manufacturing • supply chain management • webinar
Toward AI Standards: Why Context Is Critical for Artificial Intelligence
By Bryce Merkl Sasaki
June 24, 2019|Reading time: 3 minutes
Learn what Neo4j CEO Emil Eifrem believes is the most critical component of both technical and ethical standards for AI – and how we might make it happen.
Explore: ai • AI standards • artificial intelligence • graph technology • Knowledge Graph • logic processing • machine learning • National Institute of Standards and Technology • NIST • Panama Papers
Improving Machine Learning Predictions Using Graph Algorithms [Video]
By Bryce Merkl Sasaki
June 20, 2019|Reading time: 1 minute
Watch this webinar on how graph algorithms are reinventing the field of intelligent applications by improving the predictability of AI and ML models.
Explore: ai • artificial intelligence • feature selection • graph algorithms • link prediction • machine learning • machine learning predictions • ML • overfitting • webinar
From Collections to Connections: Where Hadoop Adoption Goes from Here
By Jocelyn Hoppa
June 13, 2019|Reading time: 4 minutes
Learn about the evolving world of big data and how the industry is increasingly interested in connecting data rather than just collecting it.
Explore: ai • Big Data • Connected Data • data lake • data management • Data Relationships • data swamp • Data Warehousing • Hadoop • machine learning • spark
The Present and Future of Artificial Intelligence and Machine Learning
By Jocelyn Hoppa
June 12, 2019|Reading time: 18 minutes
Discover how we can methodically explore capabilities related to artificial intelligence and machine learning to successfully predict the future.
Explore: ai • AI ethics • AI technology • artificial intelligence • Big Data • graphconnect • machine learning • machine learning technology • modern computing • natural language generation
NODES 2019: Launching the Neo4j Online Developer Expo & Summit!
By Bryce Merkl Sasaki
June 5, 2019|Reading time: 3 minutes
Discover what’s in store for Neo4j’s first-ever online summit built just for developers, engineers, data scientists and graphistas from around the globe.
Explore: ai • APOC • cypher • GRANDstack • graph algorithms • graphHack • machine learning • Neo4j Community • nodes • Recommendation Engines
15 Years Loving Graphs: Big Congrats & Thanks to Our Italian Partner LARUS
By Michael Hunger, Developer Relations
May 24, 2019|Reading time: 4 minutes
I just returned from Venice, where enjoyed not only the weather and food but … Had an amazing time in Venice, Italy to celebrate the 15th anniversary of our friends and partners from @AgileLARUS. Thanks a lot @inserpio for the… Read more →
Explore: APOC • etl • Graph Analytics • Kafka • Larus • machine learning • Neo4j ETL • Neo4j Kafka integration • Neo4j Labs • Neo4j partner
Think About What You’re Building: 5-Minute Interview with Stephen O’Grady
By Jocelyn Hoppa
May 17, 2019|Reading time: 3 minutes
Check out this 5-minute interview with Stephen O’Grady, Co-Found of Redmonk, on how developers should consider the broader implications of what they build.
Explore: 5-minute interview • artificial intelligence • deep learning • graph database • graph technology • Hillary Mason • IoT • machine learning • neo4j • Stephen O'Grady
#GraphCast: How Graphs Are Used around the Globe
By Bryce Merkl Sasaki
May 10, 2019|Reading time: 2 minutes
Check out this week’s #GraphCast, featuring graph technology users from around the world talking about how they use Neo4j to solve connected data problems.
Explore: Adobe • Data Visualization • Global Graph Celebration Day • Graph Theory • GraphCast • Leonhard Euler • machine learning • nasa • Neo4j Bloom • Panama Papers
Transforming the Enterprise: AI at Scale with Neo4j
By Jocelyn Hoppa
April 24, 2019|Reading time: 18 minutes
Discover how Ernst and Young takes advantage of graph-driven enterprise AI and machine learning to develop stronger fraud-detection and customer 360 mapping tools.
Explore: AI at scale • customer 360 • enterprise AI • fraud detection • Graph Analytics • graph database • graph learning • graph recommendation engine • graphconnect • machine learning
Free O’Reilly Book: Graph Algorithms in Apache Spark and Neo4j
By Jocelyn Hoppa
April 15, 2019|Reading time: 3 minutes
Grab your free copy of the brand new O’Reilly book, “Graph Algorithms: Practical Examples in Apache Spark & Neo4j” – a practical guide to graph analytics.
Explore: Connected Data • data scientists • developers • graph algorithms • Graph Analytics • intelligent solutions • machine learning • neo4j • oreilly • predictive analytics • spark
#GraphCast: Fake News Edition
By Jocelyn Hoppa
February 10, 2019|Reading time: 2 minutes
Welcome to this week’s #GraphCast – our new series featuring what you might have missed on the Neo4j YouTube channel. Last time, our Editor-in-Chief, Bryce Merkl Sasaki, pivoted away from video and onto the podcast medium to highlight a recent… Read more →
Explore: fake news • graph database • GraphCast • machine learning • NBC News • neo4j • open sourced data • russian trolls • twitter
DeepWalk: 5-Minute Interview with Dr. Steven Skiena
By Jocelyn Hoppa
February 8, 2019|Reading time: 4 minutes
“Graphs have become very powerful, they’re fundamental, and they’re only becoming more and more important,” said Dr. Steven Skiena, Director of the AI Institute at Stony Brook University. Graphs are a fundamental part of computer science, and they are only… Read more →
Explore: 5-minute interview • data science • DeepWalk • Dr. Steven Skiena • graph algorithms • graph embedding • machine learning • Social Networks • Stony Brook University • word2vec
Leveraging Data Science Tools for Fraud Investigation
By Jocelyn Hoppa
February 6, 2019|Reading time: 13 minutes
Editor’s Note: This presentation was given by Paul Starrett at GraphConnect New York in October 2017. Presentation Summary This blog focuses on how to take advantage of certain actively used data-science tools synergistically, and how to use a graph database… Read more →
Explore: Big Data • data science • fraud • Graph Visualizations • graphconnect • machine learning • natural language processing • predictive analytics • private investigator • structured data
Tackling Hard Problems Head-On: 5-Minute Interview with Hilary Mason, General Manager for Machine Learning at Cloudera
By Jocelyn Hoppa
January 25, 2019|Reading time: 4 minutes
“Bad ideas are the gateway to the best ideas,” said Hilary Mason, General Manager for Machine Learning at Cloudera. Problems that look impossible intrigue Mason, the founder of Fast Forward Labs (now Cloudera Fast Forward Labs). If clients only bring… Read more →
Explore: 5-minute interview • ai • artificial intelligence • Cloudera • data science • graph technology • Hilary Mason • machine learning • machine learning analysis • neo4j
Graph Algorithms in Neo4j: PageRank
By Jocelyn Hoppa
January 22, 2019|Reading time: 4 minutes
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →
Explore: centrality algorithms • cypher • graph algorithms • Graph Analytics • graph search algorithms • Larry Page • machine learning • PageRank • Twitter analytics
This Week in Neo4j – Topic Extraction with Graphileon, Neo4j 3.5 FTS Deep Dive, Neo4j for Very Large Scale Systems
By Mark Needham
January 19, 2019|Reading time: 4 minutes
Welcome to the 3rd edition of This Week in Neo4j for 2019. We’ve got a variety of different things for you this week. Christophe Willemsen has written an excellent deep dive into the Full-Text Search feature released in Neo4j 3.5,… Read more →
Explore: full-text search • graph algorithms • graphileon • machine learning • Marvel Universe • owl • RDF • spring data neo4j • topic extraction • twin4j
This Week in Neo4j – Graph Layouts with Graph Algorithms and Machine Learning, Graphing the Floodlight Open Project data, Multi-Turn Conversational Voice Experiences with a Knowledge Graph
By Mark Needham
January 12, 2019|Reading time: 4 minutes
We’re almost half-way through January, so it must be time for another installment of This Week in Neo4j. It’s been a busy week as the community kicks back into action after the New Year’s hangover. Jennifer Reif is back with… Read more →
Explore: amazon alexa • dimensionality reduction • graph algorithms • graph layout • Halin • Knowledge Graph • machine learning • Marvel Universe • monitoring • twin4j
Social Power, Operational Ease: 5-Minute Interview with David Fox, Software Engineer at Adobe
By Jocelyn Hoppa
January 11, 2019|Reading time: 3 minutes
“We were able to go from 48 Cassandra instances to three Neo4j instances. Going into the project, we weren’t sure whether that was going to be possible,” said David Fox, Software Engineer at Adobe. Adobe runs Behance, a social network… Read more →
Explore: 5-minute interview • activity feed • Adobe • Behance • Cassandra • David Fox • Graph Databases • machine learning • Neo4j Community • social network
This Week in Neo4j – Anti-Money Laundering Investigation, Replicating The GitHub GraphQL API, Getting Started with machine learning on graphs
By Mark Needham
January 5, 2019|Reading time: 3 minutes
Happy New Year everybody, and welcome to our first version of TWIN4j of 2019. I’d only just got used to writing the year as 2018! This is traditionally a quiet week, but we’ve still got some good stuff for you… Read more →
Explore: anti-money laundering • DeepMind • github • GraphQL • machine learning • Neo4j Community • real-time recommendations • twin4j